Researchers Discover a More Flexible Approach to Machine Learning
“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. The post Researchers Discover a More Flexible Approach to Machine Learning first appeared on Quanta Magazine
Artificial intelligence researchers have celebrated a string of successes with neural networks, computer programs that roughly mimic how our brains are organized. But despite rapid progress, neural networks remain relatively inflexible, with little ability to change on the fly or adjust to unfamiliar circumstances. In 2020, two researchers at the Massachusetts Institute of Technology led a team...
Originally published in Quanta Abstractions.
